nlp-compromise/compromise
Compromise
Compromise is a natural language processing library and rule-based engine designed for English text manipulation, analysis, and parsing. It provides a toolkit for tokenizing text, identifying parts of speech, and performing linguistic analysis to achieve semantic understanding of unstructured strings.
The project distinguishes itself through its ability to programmatically transform grammar, such as modifying verb tenses, noun plurality, and adjective forms. It also functions as a named entity recognizer capable of extracting people, places, organizations, dates, and contact information from text.
The library covers a broad range of linguistic operations, including text-to-data extraction, temporal data parsing, and quantitative text statistics like word frequency and n-gram identification. Additional utility capabilities include case conversion, number format translation, and phonetic pronunciation estimation.
The system is extensible via a plugin-based architecture that allows for the expansion of its internal lexicon and the addition of custom grammar rules.
Features
- Natural Language Processing - Provides a comprehensive toolkit for analyzing English text and identifying linguistic patterns for semantic understanding.
- English Text Parsers - Analyzes English text to tokenize natural language and identify parts of speech for semantic understanding.
- Textual Entity Extractors - Identifies and categorizes people, places, organizations, and dates from unstructured text.
- Grammatical Inflection Engines - Transforms adjectives into comparative, superlative, or adverbial forms based on grammatical requirements.
- Linguistic Pattern Analysis - Analyzes word frequencies and sentence structure to understand the linguistic composition of documents.
- Natural Language Processing Libraries - Serves as a toolkit for tokenizing text, identifying parts of speech, and performing linguistic analysis.
- Part-of-Speech Taggers - Implements a layered system for assigning grammatical categories to words based on linguistic rules.
- Programmatic Grammar Manipulation - Changes verb tenses, noun numbers, and adjective forms while maintaining correct grammar.
- Rule-Based NLP Engines - Transforms text and manipulates grammar through custom lexicons, conjugation rules, and pattern matching.
- Text Tokenizers - Provides rule-based tokenization to split raw strings into discrete words and punctuation for linguistic analysis.
- Verb Tense Transformers - Transforms verbs and full sentences between past, present, future, and infinitive forms.
- Inflection Engines - Programmatically converts word forms between tenses and plurality using structural replacement patterns.
- Document and Unstructured Extraction - Converts unstructured strings into organized data by identifying named entities, dates, and grammatical components.
- Noun Number Transformers - Converts nouns between singular and plural forms while maintaining grammatical correctness.
- Natural Language Manipulators - Provides utilities for converting verb tenses, adjusting noun plurals, and modifying adjective forms.
- Lexicon-Driven Analysis - Uses a built-in dictionary of words and rules to determine semantic meaning and grammatical properties.
- String Tokenization - Splits raw strings into discrete words and punctuation using predefined patterns and linguistic delimiters.
- Sentence Boundary Detectors - Segments text into sentences and clauses to identify if they are questions, exclamations, or statements.
- Text Analysis Tools - Provides functions for calculating word frequency, identifying n-grams, and phonetic syllable splitting.
- Regex Extraction Utilities - Uses regular expressions to isolate named entities like emails and phone numbers from unstructured text.
- Natural Language Temporal Parsers - Identifies and formats dates, times, and durations from natural language strings into structured temporal data.
- Text Formatting - Standardizes casing, number formats, and punctuation across natural language strings.
- Text Search and Replace - Substitutes specific words or phrases with new content or swaps root-words using proper conjugation.
- Text Extraction - Extracts specific words and grammatical components from raw text to transform unstructured strings into organized data.
- Lexicon Extensions - Enables extending linguistic data by adding new words to the lexicon and defining custom tags.
- Grammar Extensions - Allows the addition of custom words and rules to the core language model via modular external configurations.
- Hybrid Libraries - Natural language processing library for text analysis.
